Five day Virtual Workshop on NGS and Transcriptomic Data Analysis | 20th-24th Sep 2024

Five day Virtual Workshop on NGS and Transcriptomic Data Analysis | 20th-24th Sep 2024 


Quaxon Bio & IT Solutions, India is going to conduct a Five day virtual workshop (41st International virtual workshop) on “NGS and Transcriptomic Data Analysis” to 20-24 Sep 2024.

Contact to book your seat: +91-9692521875 

Website Post: https://qbiits.org/5-day-workshop-transcriptomic-data-analysis/

 Plat form: Google Meet

Key benefits

 Hands on session using real example

 Designed for beginner to advance level learners

 Complete one-to-one session

 E-Certificate for all participants

 Recording of all session will be given for thorough practice

About the topic:

NGS technology is recently developed tool for transcriptome profiling that uses deep sequencing methods. It is considered to be most precise method of measurement of level of transcripts in a cell and their quantity.

The transcriptome is the complete set of transcripts in a cell, and their quantity, for a specific developmental stage or physiological condition. Understanding the transcriptome is essential for interpreting the functional elements of the genome and revealing the molecular constituents of cells and tissues, and also for understanding development and disease progression. It is today adopted by researchers across bioscience discipline to study and profile differential expression and use it for various purposes downstream.

This programme will be useful for students, research fellows and faculties from bioscience and pharmaceutical background.

Importance of NGS Data Analysis in Bioscience Research

Next-generation sequencing (NGS) transcriptomics is relevant to multiple branches of life sciences, including genomics, molecular biology, bioinformatics, and systems biology. It allows for comprehensive analysis of RNA transcripts, providing insights into gene expression, regulation, and function across various organisms. Applications include identifying disease biomarkers, understanding cellular responses, studying genetic variations, and developing personalized medicine. Additionally, it is instrumental in agricultural research for crop improvement and in environmental studies for assessing microbial communities and ecosystem health.

Training curriculum

Day wise Schedule

Day 1: NGS Basics & Conda Environment Setup

  • Introduction to NGS
    • Overview of NGS technology
    • Common NGS workflows (DNA-seq, RNA-seq)
  • Conda Environment Basics
    • Installing and setting up Conda
    • Creating, activating, and managing environments
  • Linux Basics
    • Essential Linux commands (navigation, file operations)

Day 2: R Basics & Command Line

  • R Basics
    • R installation and setup
    • Basic R syntax and data structures (vectors, data frames)
    • Command-line usage with R (installing packages, running scripts)
  • Linux Command Line
    • Using the command line for file manipulation
    • Scripting basics in Linux (bash scripting)

Day 3: Alignment Theory & Hands-on

  • Alignment Theory
    • Basics of alignment (DNA/RNA alignment)
    • Tools: BWA, Bowtie, STAR
    • Understanding reference genomes and indexes
  • Hands-on
    • Aligning sample data to a reference genome using a tool like STAR or BWA

Day 4: FeatureCount & Differential Expression in DESeq2

  • FeatureCount Theory & Hands-on
    • Understanding read counting and gene expression quantification
    • Hands-on with FeatureCount for counting reads
  • Differential Expression with DESeq2
    • Introduction to DESeq2
    • Running a basic differential expression analysis using DESeq2

Day 5: Dimensionality Reduction & Pathway Analysis

  • Dimensionality Reduction & PCA
    • Theory of PCA for dimensionality reduction
    • Hands-on PCA in R
  • Pathway Analysis (45 min)
    • Basics of downstream pathway analysis (GSEA, KEGG)
    • Practical hands-on example using pathway analysis tools 

Eligibility

Students, Faculties and research scholar from all biological science(Biotechnology, pharmaceutical science, microbiology, bioinformatics and other allied areas) having computer operation skill are eligible to participate.

Participation Fee 

For Indians

Rs.2000/- for students, pursuing   B.Sc/M.Sc

Rs.2500/- for Faculty, PhD Scholar/research scholar and other working persons

For foreign Participants

      Participation fee:  $35/-

How to Participate?

Step-1: Make payment of participation fee by visiting the below URL and note your transaction number or take the screen shot 

Payment link for Indian Participants

https://rzp.io/l/gSsDg05oFG

Payment link for Foreign Participants(outside of India)

Visit the below link to pay the fee $35 

https://paypal.me/Workshop334

 step-2  Must Register After The Payment Using Below Link

https://docs.google.com/forms/d/1P0_cue9BIeLjVxTYTzLOLkWY0xLJvq7J3Fksr4x49W4/edit

About Us

 Quaxon Bio & IT Solutions is a fastest growing EduTech start-up established and registered to the Ministry of Micro, Small and Medium Enterprises, Government of India. Our mission is to act as an industry-academic interface, to excel in knowledge transformation and producing a highly skilled workforce equipped with next-generation skills. We are delivering high demand skills via virtual workshop related to bioinformatics and data science with international participants, facilitating the exchange of cutting-edge research and ideas around the globe. In recent past we have conducted numerous workshop on advance biology and Bioinformatics with international participants from 17+ countries.                 

Contact for any enquiry:

Contact  +91-9692521875  or write to us quaxonbiits@gmail.com

For detail term and condition kindly visit the website post

https://qbiits.org/5-day-workshop-transcriptomic-data-analysis/ 

System requirement 4 GB RAM or higher, . 2-core 4 threads processor or higher (Intel i3 minimum for Intel builds and Ryzen 3 for AMD builds). Please refer to system properties under settings. Windows 10, version 1909 or higher (for Windows systems)        OR     Ubuntu, version 14.04 or higher/ any other similar Linux distro (for Linux systems) Visit Website post https://qbiits.org/5-day-workshop-transcriptomic-data-analysis/   for more information. 

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